Controlling 3D Objects in 2D Image Synthesis

Abstract In this work, we propose a method that enforces explicit control over various attributes during the image generation process in generative adversarial net. We semi-supervised learning procedure allows us to use quantized approximation of object orientation for continuous rotations. As result, among many other attributes, our proposed scenes are rendered according specifications.